arminZolfaghari/NLP-Comment-Filtering
Artificial Intelligence Course 4th Project: Implementing Bigram and Unigram models for filtering comments
This helps classify online comments as either positive or negative, which is useful for tasks like managing customer feedback or moderating user-generated content. You input raw text comments, and it outputs a sentiment classification for each one. This is ideal for a community manager, product owner, or marketing analyst needing to quickly understand public opinion or filter content.
No commits in the last 6 months.
Use this if you need to automatically sort large volumes of text comments into positive or negative categories without manual review.
Not ideal if you need to identify specific topics, extract entities, or categorize comments beyond simple positive/negative sentiment.
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8
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Language
Python
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Last pushed
Jul 22, 2021
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